CVE-1999-0719 in Gnumeric
Summary
by MITRE
The Guile plugin for the Gnumeric spreadsheet package allows attackers to execute arbitrary code.
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Analysis
by VulDB Data Team • 04/19/2026
The vulnerability identified as CVE-1999-0719 represents a critical security flaw in the Gnumeric spreadsheet application's Guile plugin implementation. This issue affects the broader spreadsheet processing ecosystem where scripting capabilities are integrated into spreadsheet applications. The vulnerability stems from insufficient input validation and improper handling of user-supplied data within the Guile plugin component that enables script execution within the Gnumeric environment. The Guile plugin serves as an interface for executing Scheme scripts within the spreadsheet application, providing extended functionality for users who require advanced computational capabilities. When an attacker crafts malicious input or script content that gets processed by this plugin, the application fails to properly sanitize or validate the input before execution, creating an environment where arbitrary code can be executed with the privileges of the running Gnumeric process.
This vulnerability operates at the intersection of software security and scripting engine exploitation, where the plugin's architecture does not adequately separate user input from executable code paths. The technical flaw manifests as a lack of proper sandboxing mechanisms or input sanitization routines within the Guile plugin's code execution pipeline. When the spreadsheet application processes a file containing malicious Guile code, the plugin's interpreter does not properly validate or restrict the scope of the executed code, allowing attackers to leverage this weakness to perform unauthorized actions. The vulnerability aligns with CWE-94, which describes "Improper Control of Generation of Code" - a class of vulnerabilities where applications fail to properly control code generation or execution, particularly in contexts where user input is processed through interpreted languages or scripting engines.
The operational impact of CVE-1999-0719 extends beyond simple code execution, potentially enabling attackers to gain complete control over affected systems running vulnerable versions of Gnumeric. An attacker could craft malicious spreadsheet files that, when opened by a victim using the affected software, would automatically execute malicious code without user interaction. This type of vulnerability is particularly dangerous in enterprise environments where spreadsheet files are frequently shared and opened by multiple users. The attack surface includes scenarios where users might open infected files received via email attachments, shared network drives, or downloaded from untrusted sources. The vulnerability can be exploited through social engineering tactics where users are tricked into opening seemingly legitimate spreadsheet files that contain hidden malicious scripts.
Mitigation strategies for this vulnerability should focus on immediate patching of affected Gnumeric versions and implementation of defensive measures to prevent unauthorized script execution. Organizations should consider disabling or removing the Guile plugin from spreadsheet applications when it is not required for business operations, as this eliminates the attack vector entirely. Security administrators should implement strict file validation policies that scan spreadsheet files for suspicious script content before allowing them to be processed by applications. The implementation of sandboxing mechanisms or restricted execution environments for spreadsheet plugins can provide additional protection layers. From a broader security perspective, this vulnerability highlights the importance of secure coding practices in plugin architectures and the need for comprehensive input validation. The ATT&CK framework categorizes this type of vulnerability under T1059, "Command and Scripting Interpreter," where adversaries leverage legitimate interpreter tools to execute malicious code. Organizations should also consider network-based detection measures that monitor for unusual script execution patterns and implement user education programs to reduce the risk of social engineering attacks that exploit this vulnerability.